Writing new code and deploy that to production environment might be the trivial part of the process, especially when you’re engaged to evolve the components without system down or, worse, unexpected troubles when users are connected.

Dealing with data streaming is always a challenging task to accomplish. Data that can achieve a big dimension needs a scalable system to avoid sudden failures. Apache Spark “Streaming” cube is a framework library born to deal with streaming process data processing. Let’s have a look at it.Continue reading Streaming using Apache Spark

A first glance at this powerful platform for distributing data across different node clients in order to improve the scalability of the application which adopts this solution of distributed cache (and not only).

Resuming my journey through the Container Services (started with Pivotal Cloud Foundry) I’ve had a look at Red Hat OpenShift platform.
Building on Kubernetes platform, it offers a powerful service containers for a lot of different languages and frameworks.Continue reading Red Hat OpenShift – First look